Instructions to use mlahr/font-identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlahr/font-identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mlahr/font-identifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("mlahr/font-identifier") model = AutoModelForImageClassification.from_pretrained("mlahr/font-identifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bc2fa6df43b53fcef047c5564c5bc630713f7ca1157f8c0f520f1370ae12e95
- Size of remote file:
- 89.6 MB
- SHA256:
- 74bf83151c556237f2a0baeeba73d0b7192355b9fae70f56ae2bf02bfc819fcb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.